Variational Message Passing
Variational Message Passing is a variational inference algorithm that operates within the family of expectation propagation methods, distinguished by its use of local message-passing rules on factor graphs to iteratively update approximate posterior distributions in conjugate exponential-family models.
44
Publications
2.3K
Citations
102
Authors
47
Institutions
Publications per year
2017–2026
23
Parents
44
On Variational Message Passing on Factor Graphs
Justin Dauwels · 2007 · 177 citations
Convergent message passing algorithms - a unifying view
Talya Meltzer, Amir Globerson, Yair Weiss · arXiv (Cornell University) · 2012 · 106 citations · Full text
Weijie Yuan, Nan Wu, Bernhard Etzlinger et al. · IEEE Transactions on Vehicular Technology · 2016 · 101 citations · Full text
1–5 of 44
102
4
h-index
4
h-index
4
h-index
4
h-index
3
h-index
1–5 of 102
47
Aalborg University
Aalborg, Denmark
5 h-index
14 publications
614 citations

Beijing Institute of Technology
Beijing, China
4 h-index
13 publications
658 citations
University of Technology Sydney
Sydney, Australia
4 h-index
7 publications
212 citations
University College London
London, United Kingdom
4 h-index
9 publications
441 citations
Technische Universität Dresden
Dresden, Germany
3 h-index
8 publications
487 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
3 h-index
9 publications
174 citations
Wellcome Centre for Human Neuroimaging
London, United Kingdom
2 h-index
3 publications
347 citations
RIKEN Center for Brain Science
Wako, Japan
2 h-index
2 publications
238 citations
1–8 of 47
Repository · 5 publications · 188 citations
5
h-index
3 publications · 58 citations
3
h-index
2 publications · 75 citations
2
h-index
2 publications · 40 citations
2
h-index
2 publications · 39 citations
2
h-index
1–5